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%0 Conference Proceedings
%4 sid.inpe.br/banon/2002/10.23.12.23
%2 sid.inpe.br/banon/2002/10.23.12.23.16
%@doi 10.1109/SIBGRA.2002.1167120
%T A semi-automatic surface reconstruction framework based on T-Surfaces and isosurface extraction methods
%D 2002
%A Strauss, Edilberto,
%A Jiménez, Walter,
%A Giraldi, Gilson A.,
%A Silva, Rodrigo,
%A Oliveira, Antonio A. F.,
%E Gonçalves, Luiz Marcos Garcia,
%E Musse, Soraia Raupp,
%E Comba, João Luiz Dihl,
%E Giraldi, Gilson,
%E Dreux, Marcelo,
%B Brazilian Symposium on Computer Graphics and Image Processing, 15 (SIBGRAPI)
%C Fortaleza, CE, Brazil
%8 10-10 Oct. 2002
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%1 SBC - Brazilian Computer Society
%X In this paper we present a new approach which integrates the T-Surfaces model and isosurface genera-tion methods in a general framework for surface reconstruction in 3D medical images. T-Surfaces is a deformable model based on a triangulation of the image domain, a discrete surface model and an image threshold. Two types of isosurface generation methods are considered: the continuation ones and the marching ones. The former is useful during the reparameterization of T-Surfaces while the later is suitable to initialize the model closer the boundary. Specifically, in a first stage, the T-Surfaces grid and the threshold are used to define a coarser image resolution. This field is thresholded to get a 0-1 function which is processed by a marching method to generate polygonal surfaces whose interior may contain the desired objects. If a polygonal surface involves more than one object, then the resolution is increased in that region and the marching applied again. Next, we apply T-Surfaces to improved the result. If the obtained topology remains incorrect, we enable the user to modify the topology by an interac-tive method based on the T-Surfaces framework. Finally, we demonstrate the utility of diffusion methods for our approach.
%@language en
%3 49.pdf
%O The conference was held in Fortaleza, CE, Brazil, from October 7 to 10.


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